Kevin O'Sullivan, SITA Lab, presents at SITA 2013 Europe Aviation ICT Forum

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Sydney Airport Big Data Tell me something I don’t know.

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17th October

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Contents

• CPH History / Big Data Gartner

• Sydney Project Overview

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• What did we learn

• Conclusion

| Sydney Analytics | Confidential | © SITA 20123

Copenhagen Airport Pilot (2011)

World premiere of passenger flow management via WIFI

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4| Innovating Together| Confidential | © SITA 2012iFlow

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Google Trends, search term “Big Data”

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Hype Cycle for Emerging Technologies 2013 Source: Gartner

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Sydney Airport Big Data Objectives

• Predict accurate passenger flows across

airport key facilitation zones, and in

particular during an anomaly.

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• E.g. multiple large body aircraft unexpectedly arriving at

same time.

i.e. Tell me something I don’t know


Total Pax Counts

2 Predicted Flows

Transit Gate Estimations

1

3

Outcomes for Arrivals

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9 | data science engine | Confidential SITA | © SITA

Transit Gate Estimations

Exit Flow Forecast6

3

4 Roster Recommendations

Data Sources Used

WiFi Analytics from iFlowUsed to measure time to walk from gates to immigration and verify predictions

Flight SchedulesUsed to get scheduled flight data.

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FIDS data Used get estimated arrival times and passenger counts

Immigration DataUsed to measure processing time at immigration

10 | Sydney Analytics | Confidential SITA | © SITA

What does Big Data architecture look like?

Data Sources

Prediction Engine

Visualization & Alerting

HTML5 email/SMS

ETL

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Prediction Engine

Hadoop

Data Grid

Cassandra HPCC

Oracle Big Data

Appliance

IBM Big Insights

ETL

R Java

Google Glass Alert

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What did we learn?

• Big Data projects are not about the data.

• Big Data projects are about Business Intelligence.

• Don’t be lured into conducting a fishing exercise on

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• Don’t be lured into conducting a fishing exercise on your data.

• Set the BI objects at start of project, and stay lazer focused on these objectives.


What did we learn?

• You don’t need to commit big dollars for

dedicated hardware and specalist software.

• Run a starter project on commodity cloud servers and open source software.

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open source software.

• Learn by doing.

• It maybe cheaper for existing staff to learn big data, than a big data expert to learn your business


Conclusion

• Start small with Big Data

• Focus on the Business Intelligence

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• Tell me something I don’t know.


Kevin O'Sullivan, SITA Lab, presents at SITA 2013 Europe Aviation ICT Forum

Technology

Transcript of Kevin O'Sullivan, SITA Lab, presents at SITA 2013 Europe Aviation ICT Forum